I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Uncertainty-Aware Deep Learning Architectures for Highly Dy..:
Mokhtari, Ichrak
;
Bechkit, Walid
;
Rivano, Hervé
.
info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2021.3052429. , 2021
Link:
https://hal.inria.fr/hal-03118464
RT Journal T1
Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction
UL https://suche.suub.uni-bremen.de/peid=base-ftccsdartic:oai:HAL:hal-03118464v1&Exemplar=1&LAN=DE A1 Mokhtari, Ichrak A1 Bechkit, Walid A1 Rivano, Hervé A1 Yaici, Mouloud Riadh PB HAL CCSD; IEEE YR 2021 K1 Conv-LSTM K1 spatio-temporel prediction K1 highly dynamic air quality K1 accidental pollutant release K1 uncertainty K1 FFT-07 K1 WSN K1 [INFO]Computer Science [cs] JF info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2021.3052429 LK http://dx.doi.org/https://hal.inria.fr/hal-03118464 DO https://hal.inria.fr/hal-03118464 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)